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Create a function named randc to generate a dataset of categorical variables with missingness. Follow the general form of randu & randn, witht he following arguments:
nlevels: Number of different categories
shape: Same as in randu & randn, including defaults
missingness: " "
thr: " "
The dtype arrgument is not necessary here. Create this function within impyute.dataset.base
Be sure that functions accept & return matrices. Be sure to follow the 4 steps outlined in contributing.md
The below labels are for DDFG (Data Days for Good) participant reference: Priority: Medium Difficulty: Medium
The text was updated successfully, but these errors were encountered:
Create a function named
randc
to generate a dataset of categorical variables with missingness. Follow the general form ofrandu
&randn
, witht he following arguments:nlevels
: Number of different categoriesshape
: Same as inrandu
&randn
, including defaultsmissingness
: " "thr
: " "The
dtype
arrgument is not necessary here. Create this function withinimpyute.dataset.base
Be sure that functions accept & return matrices.
Be sure to follow the 4 steps outlined in contributing.md
The below labels are for DDFG (Data Days for Good) participant reference:
Priority: Medium
Difficulty: Medium
The text was updated successfully, but these errors were encountered: